一种改进的红外图像序列帧间位移估计算法  

An Improved Shift Estimation Algorithm for Infrared Sequences

作　　者：刘崇亮[1] 金伟其[1] 修金利[1] 刘秀[1] 刘斌[1] 范永杰[1] 

机构地区：[1]北京理工大学光电成像技术与系统教育部重点实验室,北京100081

出　　处：《北京理工大学学报》2011年第7期818-822,共5页Transactions of Beijing Institute of Technology

基　　金：国家自然科学基金资助项目(60877060);国家"十一五"预研项目(404050301)

摘　　要：提出一种改进全局运动估计算法,能够在网格状、水纹状固定图案噪声存在的情况下,有效获取红外图像序列的帧间亚像素微位移.算法先通过自适应滤波器进行预处理,抑制图像噪声;再基于最小化均方误差函数,获取参考帧与目标帧之间微位移的解析表达式.计算机模拟图像序列与实际红外图像序列的实验结果表明,该算法比目前常用的微位移估计法具有更好的适应性,可有效应用于存在固定图案噪声的红外图像序列微位移估计.An improved algorithm for estimating the global movement of infrared sequences with fixed pattern noise （FPN） is proposed. One of the challenges in practical infrared sub-pixel motion estimation is how to obtain high accuracy with sufficient robustness to additive noise. Motivated by the fact that adaptive filter has the ability to suppress the noise, an improved sub- pixel registration method for infrared image sequences was introduced. The proposed algorithm used an adaptive filter to suppress noise, and then derived the motion estimation analytic expression by minimizing the mean-squared-error （MSE） function between the reference and target frames. Computer simulations and actual experiments＇ results demonstrate the superiority and adaptability of the proposed algorithm, compared with the ordinary sub-pixel motion estimation method when noise exists.

关 键 词：红外成像 自适应滤波器 亚像素位移估计 固定图案噪声 

分 类 号：TN215[电子电信—物理电子学]